We analyze the determinants of daily futures price volatility in corn, soybeans, wheat, and oats markets from 1986 to 2007. Combining the information from simultaneously traded contracts, we implement a generalized least squares method that allows us to clearly distinguish among time-to-delivery...

We use variance decompositions from high-dimensional vector autoregressions to characterize connectedness in 19 key commodity return volatilities, 2011-2016. We study both static (full-sample) and dynamic (rolling-sample) connectedness. We summarize and visualize the results using tools from...

We use variance decompositions from high-dimensional vector autoregressions to characterize connectedness in 19 key commodity return volatilities, 2011-2016. We study both static (full-sample) and dynamic (rolling-sample) connectedness. We summarize and visualize the results using tools from...

If the creditworthiness of a counterparty is a derivative of a commodity price, there is the potential to have right- or wrong-way exposures in respective commodity transaction. Identifying them is important, because otherwise credit costs might be inadequately calculated and wrong incentives...

Futures contracts on the New York Mercantile Exchange are the most liquid instruments for trading crude oil, which is the world’s most actively traded physical commodity. Under normal market conditions, traders can easily find counterparties for their trades, resulting in an efficient market...

On the 30th anniversary of the seminal article by Pindyck (1993), we re-evaluate the evidence for the classical rational model of commodity prices, extending it to admit time- varying discount rates, investors’ heterogeneity or both. Discount factors specifications are flexible enough to allow...